A CFD-based parameterization approach for correcting vehicle-mounted three-dimensional instantaneous wind measurements

作者：Keyu Chen, Yanrong Yang, Yufei Huang, Yuheng Zhang, Jietao Zhou, Haijiong Sun, C Liu, Ling Kang, Keding Lu, Wu Zj, Shao‐Meng Li · 年份：2026 · DOI：10.5194/egusphere-2026-2441 · 研究领域：Wind and Air Flow Studies、Meteorological Phenomena and Simulations、Wind Energy Research and Development

Abstract. Near-surface three-dimensional wind vectors are essential meteorological variables in atmospheric boundary layer research and environmental monitoring. Vehicle-mounted mobile wind measurement platforms enable observations of near-surface wind fields with high spatial resolutions over relatively large spatial domains. However, vehicle-induced flow distortion, platform motion, and attitude variations introduce substantial interference into vehicle-mounted wind measurements, resulting in systematic deviations of the measured wind vectors from the true ambient wind field. To obtain accurate three-dimensional wind measurements, this study proposes a vehicle-mounted instantaneous wind correction method based on a CFD-derived parameterization scheme. A set of parameterized CFD simulations is conducted within a unified computational domain under multiple wind speeds and directions to establish a mapping between the true inflow wind and the flow-distorted wind measured by vehicle-mounted anemometer. The correction framework further accounts for the effects of vehicle attitude variations and vehicle translation. Based on field comparison experiments, the corrected vehicle-mounted wind speed, wind direction, and vertical wind component show substantially improved agreements with ground-based reference observations under headwind conditions. Under tailwind conditions, the correction performance is reduced but remains superior to uncorrected measurements. Contribution analyses i...